Evidence map›Paper›PMID 35074047›Full record

ArticleeLife2022

Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation.

Susan Martin, Jessica Tyrrell, E Louise Thomas, Matthew J Bown, Andrew R Wood, Robin N Beaumont, Lam C Tsoi, Philip E Stuart, James T Elder, Philip Law and 15 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 pooled it
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 5 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Precision or Paradox? AI-Driven Adiposity Imaging in Women With Overweight and Obesity: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  11. Observational
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  14. Definition and diagnostic criteria of clinical obesity.The lancet. Diabetes & endocrinology · 2025
    Review
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  18. Astaxanthin mediated repair of tBHP-Induced cellular injury in chondrocytes.Redox report : communications in free radical research · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 12 institutions in 5 countries.

Susan MartinInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter Hospital, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-8746-0947
Jessica TyrrellInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter Hospital, Exeter, United Kingdom.
E Louise ThomasResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom.ORCID https://orcid.org/0000-0003-4235-4694
Matthew J BownDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.
Andrew R WoodInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter Hospital, Exeter, United Kingdom.
Robin N BeaumontInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter Hospital, Exeter, United Kingdom.
Lam C TsoiDepartment of Dermatology, University of Michigan, Ann Arbor, United States.
Philip E StuartDepartment of Dermatology, University of Michigan, Ann Arbor, United States.
James T ElderDepartment of Dermatology, University of Michigan, Ann Arbor, United States.
Philip LawThe Institute of Cancer Research, London, United Kingdom.
Richard HoulstonThe Institute of Cancer Research, London, United Kingdom.
Christopher KabrhelDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, United States.
Nikos PapadimitriouNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Caroline J BullMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Joshua A BellMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Emma E VincentMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-1604-2593
Malcolm G DunlopUniversity of Edinburgh, Edinburgh, United Kingdom.
Ian P M TomlinsonEdinburgh Cancer Research Centre, IGMM, University of Edinburgh, Edinburgh, United Kingdom.
Sara LindströmDepartment of Epidemiology, University of Washington, Seattle, United States.
INVENT consortium
Jimmy D BellResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom.ORCID https://orcid.org/0000-0003-3804-1281
Timothy M FraylingInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter Hospital, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-8362-2603
Hanieh YaghootkarInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter Hospital, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-9672-9477
University of Exeter · GBUniversity of Bristol · GBUniversity of Michigan · USCentre international de recherche sur le cancer · FRInstitute of Cancer Research · GBBoston University · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAEdinburgh Cancer Research · GBUniversity of Glasgow · GBUniversity of Leicester · GBUniversity of Westminster · GBWestern General Hospital · GB

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
SWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2M
USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
British Heart Foundation CS/14/2/30841British Heart Foundation PG/17/21/32844British Heart Foundation RG/18/10/33842Cancer Research UK 12076Cancer Research UK 14136Cancer Research UK 18927Cancer Research UK 25514Cancer Research UK 27327Cancer Research UK 29019Cancer Research UK C18281/A29019Cancer Research UK C490/A16561Cancer Research UK C570/A16491Cancer Research UK C588/A19167Cancer Research UK C8221/A19170Cancer Research UK C864/A14136Department of HealthIntramural NIH HHS Z01 CP010200Medical Research Council 1000143Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_PC_13048Medical Research Council MC_PC_U127527198Medical Research Council MC_U127527198Medical Research Council MC_UU_00007/1Medical Research Council MC_UU_00011/1Medical Research Council MC-UU_12015/1Medical Research Council MR/L00002/1Medical Research Council MR/M008924/1Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1Medical Research Council MR/T002239/1NCATS NIH HHS KL2 TR000421NCI NIH HHS K05 CA152715NCI NIH HHS K05 CA154337NCI NIH HHS K07 CA190673NCI NIH HHS P01 CA033619NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA196569NCI NIH HHS P30 CA006973NCI NIH HHS P30 CA014089NCI NIH HHS P30 CA015704NCI NIH HHS P30 CA016058NCI NIH HHS P30 CA076292NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA042182NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA063464NCI NIH HHS R01 CA066635NCI NIH HHS R01 CA067941NCI NIH HHS R01 CA072520NCI NIH HHS R01 CA076366NCI NIH HHS R01 CA081488NCI NIH HHS R01 CA097325NCI NIH HHS R01 CA136726NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA189184NCI NIH HHS R01 CA197350NCI NIH HHS R01 CA201407NCI NIH HHS R01 CA207371NCI NIH HHS R03 CA153323NCI NIH HHS R21 CA191312NCI NIH HHS R35 CA197735NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA067941NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA074794NCI NIH HHS U01 CA084968NCI NIH HHS U01 CA086308NCI NIH HHS U01 CA122839NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA164973NCI NIH HHS U01 CA167551NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA206110NCI NIH HHS U10 CA037429NCI NIH HHS U19 CA148107NCI NIH HHS U24 CA074794NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA182883NCI NIH HHS UM1 CA186107NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHGRI NIH HHS U01 HG005924NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008INHLBI NIH HHS HHSN268201700006CNIAMS NIH HHS R01 AR042742NIAMS NIH HHS R01 AR063611NIAMS NIH HHS R01 AR065183NIAMS NIH HHS RC1 AR058315NIA NIH HHS HHSN271201100004CNIA NIH HHS U01 AG018033NIDDK NIH HHS P30 DK034987NIDDK NIH HHS P30 DK056350NIEHS NIH HHS T32 ES013678NIH HHS S10 OD028685WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004CWorld Health Organization 001
6 · The paper itself

Abstract

Background: Some individuals living with obesity may be relatively metabolically healthy, whilst others suffer from multiple conditions that may be linked to adverse metabolic effects or other factors. The extent to which the adverse metabolic component of obesity contributes to disease compared to the non-metabolic components is often uncertain. We aimed to use Mendelian randomisation (MR) and specific genetic variants to separately test the causal roles of higher adiposity with and without its adverse metabolic effects on diseases. Methods: We selected 37 chronic diseases associated with obesity and genetic variants associated with different aspects of excess weight. These genetic variants included those associated with metabolically 'favourable adiposity' (FA) and 'unfavourable adiposity' (UFA) that are both associated with higher adiposity but with opposite effects on metabolic risk. We used these variants and two sample MR to test the effects on the chronic diseases. Results: MR identified two sets of diseases. First, 11 conditions where the metabolic effect of higher adiposity is the likely primary cause of the disease. Here, MR with the FA and UFA genetics showed opposing effects on risk of disease: coronary artery disease, peripheral artery disease, hypertension, stroke, type 2 diabetes, polycystic ovary syndrome, heart failure, atrial fibrillation, chronic kidney disease, renal cancer, and gout. Second, 9 conditions where the non-metabolic effects of excess weight (e.g. mechanical effect) are likely a cause. Here, MR with the FA genetics, despite leading to lower metabolic risk, and MR with the UFA genetics, both indicated higher disease risk: osteoarthritis, rheumatoid arthritis, osteoporosis, gastro-oesophageal reflux disease, gallstones, adult-onset asthma, psoriasis, deep vein thrombosis, and venous thromboembolism. Conclusions: Our results assist in understanding the consequences of higher adiposity uncoupled from its adverse metabolic effects, including the risks to individuals with high body mass index who may be relatively metabolically healthy. Funding: Diabetes UK, UK Medical Research Council, World Cancer Research Fund, National Cancer Institute.

Indexed as

AdiposityAdultAgedAged, 80 and overBody Mass IndexCardiometabolic Risk FactorsFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedObesitycancercardiovascular diseaseepidemiologyfavourable adipositygeneticsgenomicsglobal healthhumanMendelian randomisationobesity

Identifiers

PMID35074047
PMCPMC8789289
OpenAlexW4210516353

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.